State estimation in quantum homodyne tomography with noisy data
Jean-Marie Aubry, Cristina Butucea, Katia Méziani
In the framework of noisy quantum homodyne tomography with efficiency parameter 0 < η ⩽ 1, we propose two estimators of a quantum state whose density matrix elements ρ m , n decrease as , for fixed known B > 0 and 0 < r ⩽ 2. The first procedure estimates the matrix coefficients by a projection method on the pattern functions (that we introduce here for 0 < η ⩽ 1/2), the second procedure is a kernel estimator of the associated Wigner function. We compute the convergence rates of these estimators, in risk.
arXiv:0804.2434•Inverse Problems•Nov 13, 2008•13 citations